HEAL DSpace

Enabling risk assessment and analysis by event detection in dementia patients using a reconfigurable rule set

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dc.contributor.author Xefteris, S en
dc.contributor.author Androulidakis, A en
dc.contributor.author Haritou, M en
dc.contributor.author Baboshin, A en
dc.contributor.author Glickman, Y en
dc.contributor.author D'Andria, F en
dc.contributor.author Tserpes, K en
dc.contributor.author Varvarigou, T en
dc.date.accessioned 2014-03-01T02:53:15Z
dc.date.available 2014-03-01T02:53:15Z
dc.date.issued 2011 en
dc.identifier.uri http://hdl.handle.net/123456789/36196
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-84858066272&partnerID=40&md5=ee45dc0494da43f010dcf658fb451dee en
dc.subject Assisted living en
dc.subject Cognitive states en
dc.subject Dementia en
dc.subject E-health and assistive infrastructures en
dc.subject Non-obtrusive monitoring en
dc.subject Quality of life en
dc.subject Risk analysis en
dc.subject.other Assisted living en
dc.subject.other Cognitive states en
dc.subject.other Dementia en
dc.subject.other Ehealth en
dc.subject.other Quality of life en
dc.subject.other Health en
dc.subject.other Home health care en
dc.subject.other Neurodegenerative diseases en
dc.subject.other Risk analysis en
dc.subject.other Risk assessment en
dc.subject.other Quality control en
dc.title Enabling risk assessment and analysis by event detection in dementia patients using a reconfigurable rule set en
heal.type conferenceItem en
heal.identifier.secondary 47 en
heal.publicationDate 2011 en
heal.abstract Chronic mental illnesses pose a great burden on the lives of citizens worldwide. In modern health-care, decentralization and enabling the self management of patients at home are crucial factors in improving the every-day lives of patients and the people close to them. People in general tend to dislike obtrusive monitoring on their daily activities, so how can we implement a platform that can provide clinicians with adequate and concise information on their patients health status and at the same time be unobtrusive and easy to use. Moreover, how can we make such an unobtrusive system capable of providing the doctor with highimpact warnings on the patient's health status only when it is needed, thus relieving him of unnecessary workload? In this paper, the authors present a reconfigurable Event Detection mechanism used in the ALADDIN platform for Risk Assessment and Analysis. © 2011 ACM. en
heal.journalName ACM International Conference Proceeding Series en


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